Rain sewage pump station operation and maintenance management control system and method

Abstract

The invention provides a rainwater and sewage pump station operation and maintenance management control system and method, and relates to the field of rainwater and sewage pump station operation. The operation and maintenance management control system for the rain sewage pump station comprises a rain sewage inlet pipeline, a liquid level control module, a flow control module, a data analysis and processing module, a dynamic optimization module, a fault prediction module, a decision support module and a user interface module, and then when to start or stop the work of the water pumping station is automatically judged. According to the system and the method, the start-stop sequence and the operation mode of the pump are automatically optimized by setting a dynamic optimization mode and analyzing real-time data according to the load condition and the rainwater flow of the pump station, so that the higher energy utilization rate is realized, and the unnecessary energy consumption is reduced; the system can adapt to different operation conditions and environment changes through the dynamic optimization module, and it is guaranteed that the pump station can operate efficiently under various conditions.

Description

Technical Field

[0001] The present invention relates to the field of rainwater and sewage pump station operation, and in particular to a rainwater and sewage pump station operation and maintenance management control system and method. Background Art

[0002] A rainwater and sewage pumping station is a facility used to collect, treat and discharge rainwater and sewage. When a rainwater and sewage pumping station is in operation, a control system is required. The rainwater and sewage pumping station control system is a comprehensive management platform that aims to improve the operating efficiency, safety and reliability of the rainwater and sewage pumping station, help operation and maintenance personnel effectively manage the daily operation and maintenance of the pumping station, and provide strong support for the city's water environment management.

[0003] The degree of automation of some rainwater and sewage pumping stations is relatively insufficient during operation, and some still need to rely on manual daily monitoring and management, which leads to slow response speed and increased labor costs. In addition, the control systems of some pumping stations lack advanced intelligent functions, which relatively affects the operation efficiency of the pumping stations. In addition, when dealing with sudden events such as sudden rainstorms and equipment failures, the reaction capacity is insufficient, which limits the overall performance and benefits of the system. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides a rainwater and sewage pump station operation and maintenance management control system and method, which solves the problem that the existing pump stations cannot effectively perform automatic adjustments according to the real-time operation data of the pump stations during operation.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] A rainwater and sewage pump station operation and maintenance management and control system, comprising a rainwater and sewage inlet pipe, a liquid level control module, a flow control module, a data analysis and processing module, a dynamic optimization module, a fault prediction module, a decision support module, a meteorological warning module, an Internet of Things module and a user interface module;

[0009] The rainwater and sewage inlet pipes mainly collect rainwater and sewage respectively and guide them to corresponding treatment systems;

[0010] The liquid level control module detects the liquid level in the water pump station and then automatically determines when to start or stop the operation of the water pump station;

[0011] The flow control module detects the flow in the water pump station through a flow sensor and adjusts the operating speed and drainage volume of the water pump station according to real-time conditions;

[0012] The data analysis and processing module monitors the operating status and environmental parameters of the water pump station in real time, and stores and analyzes historical data based on big data technology;

[0013] The dynamic optimization module receives data from the data analysis and processing module in real time and makes improvements based on the operation status of the water pump station;

[0014] The fault prediction module identifies abnormal patterns based on historical operating data and predicts the possibility of equipment failure;

[0015] The meteorological warning module integrates meteorological data, such as precipitation, wind speed, temperature, etc., and conducts comprehensive analysis in combination with real-time monitoring data. Through the interface with the weather forecast system and combined with the data analysis module, it can predict the precipitation in the next few hours or days in advance and automatically adjust the operation mode of the pump station;

[0016] The IoT module can monitor key parameters such as equipment operating status, production progress, temperature and humidity in real time, and upload data to the cloud for remote monitoring and analysis

[0017] The decision support module generates operation and maintenance suggestions based on the analysis results;

[0018] Through the above technical solutions, the efficient integration between modules has improved the collaborative operation capability of the entire system, making operation and maintenance management more systematic and intelligent.

[0019] Furthermore, when the liquid level control module detects that the liquid level exceeds a preset value, the liquid level control module starts the water pump to pump the sewage to a higher position, and when the liquid level is lower than the preset value, the liquid level control module stops the pump station from working;

[0020] Through the above technical solution, excessive discharge and energy waste can be avoided by setting up a liquid level control module.

[0021] Furthermore, when the flow control module detects that the flow rate is small, the output of the water pump station is reduced, and when the flow rate is large, the output of the water pump station is increased;

[0022] Through the above technical solution, energy can be effectively saved by reducing the output of the water pumping station when the flow rate is small, and the normal operation of the drainage system can be effectively ensured by increasing the output of the water pumping station when the flow rate is large.

[0023] Furthermore, the data analysis and processing module includes a data acquisition unit, a data transmission unit and a data analysis unit. The data acquisition unit is responsible for collecting real-time data from various sensors inside the pump station and providing the data to the system for further processing and analysis. The data transmission unit mainly transmits the collected real-time data to the Internet of Things module and the data analysis unit for subsequent storage, processing and analysis. The data analysis unit is responsible for processing, analyzing and storing the original data transmitted from the data acquisition unit, and generating corresponding results or reports to help the system make decisions;

[0024] Through the above technical solution, the operation data of the water pump station can be monitored in real time through sensors, and then the monitoring data can be transmitted to the cloud platform through wireless communication technology to achieve remote monitoring. At the same time, the historical data can be effectively saved, so that the historical data can be easily queried later.

[0025] Furthermore, the dynamic optimization module analyzes real-time data and automatically optimizes the start and stop sequence and operation mode of the water pumps according to the load of the water pump station and the rainwater flow rate;

[0026] Through the above technical solution, the optimal utilization of energy can be effectively achieved through system analysis of real-time data.

[0027] Furthermore, the fault prediction module is connected to an automatic intervention and alarm module. Then, when the abnormal index exceeds a preset threshold, the automatic intervention module automatically adjusts the operation status of the water pump station according to real-time data to distribute the load to other water pump stations or standby pumps. When the system cannot handle the problem by itself, the alarm module immediately triggers an alarm to notify the operation and maintenance personnel.

[0028] Through the above technical solution, when an error is predicted to occur, a quick response can be made and corresponding solutions can be taken to ensure the smooth operation of the water pump station and the safety of the urban drainage system.

[0029] Furthermore, the decision support module automatically generates an operation report, maintenance suggestions and scheduling plans based on the data analysis results and preset operation parameters, and transmits them to the user interface module for reference;

[0030] Through the above technical solution, the decision support module assists operators in remote control and autonomous decision-making.

[0031] Furthermore, the user interface module provides an intuitive visual interface for operation and maintenance personnel to view the pump station status, historical data and alarm information in real time;

[0032] The above technical solution can make it easier for operation and maintenance personnel to promptly understand the status of the pump station, make real-time adjustments and troubleshoot problems, and improve work efficiency and response speed.

[0033] Furthermore, a method for operation and maintenance management and control of a rainwater and sewage pump station includes the following processes:

[0034] S1. Various sensors are placed at key locations of the pumping station to collect data on water quality, water volume, equipment status, etc. in real time;

[0035] S2. The liquid level in the pump station is detected by the liquid level control module, and the liquid level is controlled. Then, the flow rate in the pump station is detected by the flow rate sensor through the flow control module, and the size is controlled.

[0036] S3. Receive the data transmitted by each sensor in real time through the data analysis and processing module, monitor the operating status of the pump station, and store and analyze the data;

[0037] S4. After receiving the data, the data analysis and processing module stores it and copies it to the dynamic optimization module, which then analyzes the real-time data and automatically optimizes the start and stop sequence and operation mode of the water pump according to the load of the water pump station and the rainwater flow;

[0038] S5. The data analysis and processing module transmits data to the fault prediction module in real time, identifies anomalies based on historical operation data, and warns the operation and maintenance personnel in advance. When the operation and maintenance personnel fail to handle the abnormality in time and the abnormal index exceeds the preset threshold, the automatic intervention module automatically adjusts the operation status of the water pump station according to the real-time data, and distributes the load to other water pump stations or standby pumps. When the system cannot handle it by itself, it immediately triggers an alarm through the alarm module, and notifies multiple operation and maintenance personnel to handle it again;

[0039] S6. When the data analysis and processing module transmits the data to the user interface module for display, the decision support module generates operation and maintenance suggestions based on the data analysis results and preset operating parameters transmitted by the data analysis and processing module;

[0040] Through the above technical solutions, energy consumption and operating costs are significantly reduced through intelligent control and optimized operation.

[0041] (III) Beneficial effects

[0042] The present invention provides a rainwater and sewage pump station operation and maintenance management control system and method. It has the following beneficial effects:

[0043] 1. The present invention provides a rainwater and sewage pump station operation and maintenance management control system and method. By setting a dynamic optimization mode, analyzing real-time data, and automatically optimizing the start and stop sequence and operation mode of the pump according to the load condition and rainwater flow of the pump station, higher energy utilization rate and reduction of unnecessary energy consumption can be achieved. The system can adapt to different operating conditions and environmental changes through the dynamic optimization module to ensure that the pump station can operate efficiently under various conditions.

[0044] 2. The present invention provides a rainwater and sewage pump station operation and maintenance management control system and method. By setting up a fault prediction module, abnormal patterns are identified through historical data to predict the possibility of equipment failure, so as to arrange maintenance in advance and reduce downtime. When the operation and maintenance personnel are reminded for the first time and process it, the fault prediction module can automatically intervene in the operation of the pump station, helping the operation and maintenance personnel to perform maintenance before the problem expands and reduce the failure rate.

[0045] 3. The present invention provides a rainwater and sewage pump station operation and maintenance management control system and method. By combining with the advanced Internet of Things, the Internet of Things technology is used to remotely monitor and transmit data of equipment, realize real-time upload and storage of data, and also make it more convenient for operation and maintenance personnel to perform remote diagnosis and maintenance through the platform, thus providing an efficient and intelligent solution, solving the problems existing in traditional pump station management, and having broad application prospects and market value. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a system block diagram of the present invention;

[0047] Figure 2 It is a structural block diagram of the data analysis and processing module in the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Embodiment 1:

[0050] like Figure 1 As shown, an embodiment of the present invention provides a rainwater and sewage pump station operation and maintenance management control system, including a rainwater and sewage inlet pipe, a liquid level control module, a flow control module, a data analysis and processing module, a dynamic optimization module, a fault prediction module, a decision support module, a meteorological warning module, an Internet of Things module and a user interface module;

[0051] The rainwater and sewage inlet pipes mainly collect rainwater and sewage respectively and guide them to corresponding treatment systems;

[0052] The liquid level control module detects the liquid level in the water pump station and then automatically determines when to start or stop the work of the water pump station;

[0053] The flow control module detects the flow in the water pump station through the flow sensor and adjusts the running speed and discharge volume of the water pump station according to the real-time situation;

[0054] The data analysis and processing module monitors the operating status and environmental parameters of the water pump station in real time, and stores and analyzes historical data based on big data technology;

[0055] The dynamic optimization module receives data from the data analysis and processing module in real time and makes improvements based on the operation status of the water pumping station;

[0056] The fault prediction module identifies abnormal patterns based on historical operating data and predicts the possibility of equipment failure;

[0057] The meteorological warning module integrates meteorological data, such as precipitation, wind speed, temperature, etc., and conducts comprehensive analysis in combination with real-time monitoring data. Through the interface with the weather forecast system and combined with the data analysis module, it can predict the precipitation in the next few hours or days in advance and automatically adjust the operation mode of the pump station;

[0058] The IoT module can monitor key parameters such as equipment operating status, production progress, temperature and humidity in real time, and upload data to the cloud for remote monitoring and analysis;

[0059] The decision support module generates operation and maintenance recommendations based on the analysis results;

[0060] The efficient integration between modules improves the collaborative operation capability of the entire system and makes operation and maintenance management more systematic and intelligent.

[0061] When the liquid level control module detects that the liquid level exceeds the preset value, the water pump is started through the liquid level control module to pump the sewage to a higher position. When the liquid level is lower than the preset value, the pump station is stopped through the liquid level control module, thereby avoiding excessive discharge and energy waste through the set liquid level control module.

[0062] When the flow control module detects that the flow is small, it reduces the output of the water pump station. When it detects that the flow is large, it increases the output of the water pump station. Therefore, when the flow is small, reducing the output of the water pump station can effectively save energy. When the flow is large, increasing the output of the water pump station can effectively ensure the normal operation of the drainage system.

[0063] like Figure 2As shown, the data analysis and processing module includes a data acquisition unit, a data transmission unit and a data analysis unit. The data acquisition unit is responsible for collecting real-time data from various sensors inside the pump station and providing the data to the system for further processing and analysis. The data transmission unit mainly transmits the collected real-time data to the Internet of Things module and the data analysis unit for subsequent storage, processing and analysis. The data analysis unit is responsible for processing, analyzing and storing the original data transmitted from the data acquisition unit, and generating corresponding results or reports to help the system make decisions, thereby monitoring the operation data of the water pump station in real time through sensors, and then transmitting the monitoring data to the cloud platform through wireless communication technology to achieve remote monitoring. At the same time, the historical data can be effectively saved, so that the historical data can be conveniently queried later.

[0064] The dynamic optimization module analyzes real-time data and automatically optimizes the start and stop sequence and operation mode of the water pump according to the load of the water pump station and the rainwater flow. By systematically analyzing real-time data, the optimal utilization of energy can be effectively achieved.

[0065] like Figure 1 As shown, the fault prediction module is connected to the automatic intervention and alarm module. Then, when the abnormal index exceeds the preset threshold, the automatic intervention module automatically adjusts the operating status of the water pump station according to the real-time data, and distributes the load to other water pump stations or backup pumps. When the system cannot handle it by itself, the alarm module immediately triggers an alarm to notify the operation and maintenance personnel. When it is predicted that an error is about to occur, they can respond quickly and take corresponding solutions to ensure the smooth operation of the water pump station and the safety of the urban drainage system.

[0066] The decision support module automatically generates operation reports, maintenance recommendations and scheduling plans based on data analysis results and preset operating parameters, and transmits them to the user interface module for reference. The decision support module assists operators in remote control and autonomous decision-making.

[0067] The user interface module provides an intuitive visual interface for operation and maintenance personnel to view the pump station status, historical data and alarm information in real time, which makes it easier for operation and maintenance personnel to promptly understand the status of the pump station, make real-time adjustments and troubleshoot, and improve work efficiency and response speed.

[0068] A rainwater and sewage pump station operation and maintenance management control method includes the following processes:

[0069] S1. Various sensors are placed at key locations of the pumping station to collect data on water quality, water volume, equipment status, etc. in real time;

[0070] S2. The liquid level in the pump station is detected by the liquid level control module, and the liquid level is controlled. Then, the flow rate in the pump station is detected by the flow rate sensor through the flow control module, and the size is controlled.

[0071] S3. Receive the data transmitted by each sensor in real time through the data analysis and processing module, monitor the operating status of the pump station, and store and analyze the data;

[0072] S4. After receiving the data, the data analysis and processing module stores it and copies it to the dynamic optimization module, which then analyzes the real-time data and automatically optimizes the start and stop sequence and operation mode of the water pump according to the load of the water pump station and the rainwater flow;

[0073] S5. The data analysis and processing module transmits data to the fault prediction module in real time, identifies anomalies based on historical operation data, and warns the operation and maintenance personnel in advance. When the operation and maintenance personnel fail to handle the abnormality in time and the abnormal index exceeds the preset threshold, the automatic intervention module automatically adjusts the operation status of the water pump station according to the real-time data, and distributes the load to other water pump stations or standby pumps. When the system cannot handle it by itself, it immediately triggers an alarm through the alarm module, and notifies multiple operation and maintenance personnel to handle it again;

[0074] S6. When the data analysis and processing module transmits the data to the user interface module for display, the decision support module generates operation and maintenance suggestions based on the data analysis results and preset operating parameters transmitted by the data analysis and processing module;

[0075] Through intelligent control and optimized operation, energy consumption and operating costs are significantly reduced.

[0076] Embodiment 2:

[0077] First, the system relies on multiple sensors to collect various indicators of the pumping station in real time, mainly including liquid level sensors, temperature and humidity sensors, and meteorological sensors; the liquid level sensor is used to monitor the water level in the pumping station in real time, determine the height of the water body, and trigger the start and stop operation of the water pump; the flow sensor mainly monitors the water flow in the pipeline to ensure that the discharge volume of the water pump matches the flow rate; the temperature and humidity sensor monitors the temperature and humidity conditions inside the pumping station to prevent the equipment from being affected by excessive temperature or humidity; the meteorological sensor monitors meteorological conditions such as precipitation, wind speed, and temperature, and is used to predict the impact of changes in precipitation on the pumping station; all collected data is transmitted in real time to the cloud platform or local data center through the Internet of Things module for centralized storage and processing.

[0078] Based on the water level data collected in real time by the liquid level sensor, the liquid level control module determines the change of the current water level; when the water level exceeds the set upper limit threshold, the liquid level control module automatically starts the water pump to drain water. When the water level drops to the set lower limit, the system automatically stops the operation of the water pump to avoid idling of the pump station. Through the precise control of the liquid level sensor, the pump station can ensure drainage efficiency without excessive drainage, and avoid the risk of wasting energy.

[0079] The flow control module determines the drainage load of the pump station based on the real-time monitored flow data; if the flow changes, the system will automatically adjust the speed or start and stop status of the pump to keep the drainage flow consistent with actual demand; the system ensures optimal energy efficiency and avoids excessive work of the pump by adjusting the speed of the pump.

[0080] The system processes and analyzes all types of collected data through the data analysis and processing module; integrates data from different sensors through real-time monitoring to monitor the operating status of various equipment in the pump station; then all sensor data will be stored in the database and backed up regularly to ensure that data is not lost; thus the system can conduct retrospective analysis of historical data, identify long-term trends, and provide reference for future decision-making.

[0081] Based on the data analysis module, the dynamic optimization module optimizes and adjusts according to real-time flow, liquid level, meteorological and other data; according to the changes in flow and water level, the start and stop sequence and operation mode of the water pump are dynamically optimized to achieve the maximum energy saving effect; for example, when the amount of rain is small, the water pump can run at a lower power to save energy, and when the amount of precipitation is large, the pump station will automatically increase the operation intensity and quickly drain water. By optimizing the scheduling and reasonably distributing the load of the pump station, it is ensured that each water pump operates within the optimal load range, reducing unnecessary wear and energy consumption.

[0082] Through the fault prediction module and existing machine learning algorithms, the system can analyze the operating status of pump station equipment, identify potential fault risks, and respond in advance. For example, the system uses historical equipment operation time and fault records to analyze the operating trend of the water pump and identify abnormal patterns that may cause failures; real-time monitoring of the operating status of water pumps and other key equipment to determine whether there are abnormal vibrations, abnormal temperatures, flow fluctuations, etc. Once an abnormality is detected, the system will trigger an early warning; the system will automatically adjust the operating status of the water pump through the control module based on the results of the fault prediction to avoid further deterioration of the fault. If a water pump is found to be about to fail, the system can automatically switch to a backup pump and notify the operation and maintenance personnel to intervene manually.

[0083] All analysis results and optimization strategies will be converted into executable decisions through the decision support module to help operation and maintenance personnel make the best decisions; the system generates a detailed operation and maintenance report based on the analysis results, which contains information such as the equipment's operating status, fault prediction, optimization suggestions, energy-saving effects, etc. for reference by operation and maintenance personnel; for example, the system may recommend regular maintenance of certain high-load equipment, or adjust the working mode of the water pump to improve energy efficiency; based on the data analysis results, the system can also automatically dispatch equipment, such as automatically starting a standby water pump when the equipment load is high.

[0084] Through the user interface module, the pump station operation and maintenance personnel can view the operating status of the pump station in real time, including liquid level, flow, fault warning, equipment status, etc.; the operation and maintenance personnel can directly view the operating status of each water pump, sensor and the entire pump station through the interface and respond in a timely manner; at the same time, the system will send an alarm message to the operation and maintenance personnel through the interface when a fault or abnormality occurs, indicating the severity of the problem and solution suggestions; at the same time, the operation and maintenance personnel can remotely control the start and stop of the water pump, adjust the pump station settings, or perform equipment maintenance according to the system's suggestions.

[0085] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A rainwater and sewage pump station operation and maintenance management control system, characterized in that: It includes rainwater and sewage inlet pipes, liquid level control module, flow control module, data analysis and processing module, dynamic optimization module, fault prediction module, decision support module, meteorological warning module, Internet of Things module and user interface module; The rainwater and sewage inlet pipes mainly collect rainwater and sewage respectively and guide them to corresponding treatment systems; The liquid level control module detects the liquid level in the water pump station and then automatically determines when to start or stop the operation of the water pump station; The flow control module detects the flow in the water pump station through a flow sensor and adjusts the operating speed and drainage volume of the water pump station according to real-time conditions; The data analysis and processing module monitors the operating status and environmental parameters of the water pump station in real time, and stores and analyzes historical data based on big data technology; The dynamic optimization module receives data from the data analysis and processing module in real time and makes improvements based on the operation status of the water pump station; The fault prediction module identifies abnormal patterns based on historical operating data and predicts the possibility of equipment failure; The meteorological warning module integrates meteorological data, such as precipitation, wind speed, temperature, etc., and conducts comprehensive analysis in combination with real-time monitoring data. Through the interface with the weather forecast system and combined with the data analysis module, it can predict the precipitation in the next few hours or days in advance and automatically adjust the operation mode of the pump station; The IoT module can monitor key parameters such as equipment operating status, production progress, temperature and humidity in real time, and upload data to the cloud for remote monitoring and analysis; The decision support module generates operation and maintenance suggestions based on the analysis results.

2. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: When the liquid level control module detects that the liquid level exceeds a preset value, the liquid level control module starts the water pump to pump the sewage to a higher position. When the liquid level is lower than the preset value, the liquid level control module stops the pump station.

3. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: When the flow control module detects that the flow rate is small, the output of the water pump station is reduced; when the flow rate is large, the output of the water pump station is increased.

4. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: The data analysis and processing module includes a data acquisition unit, a data transmission unit and a data analysis unit. The data acquisition unit is responsible for collecting real-time data from various sensors inside the pump station and providing the data to the system for further processing and analysis. The data transmission unit mainly transmits the collected real-time data to the Internet of Things module and the data analysis unit for subsequent storage, processing and analysis. The data analysis unit is responsible for processing, analyzing and storing the original data transmitted from the data acquisition unit, and generating corresponding results or reports to help the system make decisions.

5. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: The dynamic optimization module analyzes real-time data and automatically optimizes the start and stop sequence and operation mode of the water pump according to the load condition of the water pump station and the rainwater flow rate.

6. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: The fault prediction module is connected to the automatic intervention and alarm module. When the abnormal index exceeds the preset threshold, the automatic intervention module automatically adjusts the operating status of the water pumping station according to the real-time data, and distributes the load to other water pumping stations or backup pumps. When the system cannot handle it by itself, the alarm module immediately triggers an alarm to notify the operation and maintenance personnel.

7. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: The decision support module automatically generates an operation report, maintenance suggestions and a scheduling plan based on the data analysis results and preset operation parameters, and transmits them to the user interface module for reference.

8. The rainwater and sewage pump station operation and maintenance management control system according to claim 1 is characterized by: The user interface module provides an intuitive visual interface for operation and maintenance personnel to view the pump station status, historical data and alarm information in real time.

9. A method for operation and maintenance management and control of a rainwater and sewage pumping station, characterized in that: The process includes: S1. Various sensors are placed at key locations of the pumping station to collect data on water quality, water volume, equipment status, etc. in real time; S2. The liquid level in the pump station is detected by the liquid level control module, and the liquid level is controlled. Then, the flow rate in the pump station is detected by the flow rate sensor through the flow control module, and the size is controlled. S3. Receive the data transmitted by each sensor in real time through the data analysis and processing module, monitor the operating status of the pump station, and store and analyze the data; S4. After receiving the data, the data analysis and processing module stores it and copies it to the dynamic optimization module, which then analyzes the real-time data and automatically optimizes the start and stop sequence and operation mode of the water pump according to the load of the water pump station and the rainwater flow; S5. The data analysis and processing module transmits data to the fault prediction module in real time, identifies anomalies based on historical operation data, and warns the operation and maintenance personnel in advance. When the operation and maintenance personnel fail to handle the abnormality in time and the abnormal index exceeds the preset threshold, the automatic intervention module automatically adjusts the operation status of the water pump station according to the real-time data, and distributes the load to other water pump stations or standby pumps. When the system cannot handle it by itself, it immediately triggers an alarm through the alarm module, and notifies multiple operation and maintenance personnel to handle it again; S6. When the data analysis and processing module transmits the data to the user interface module for display, the decision support module generates operation and maintenance suggestions based on the data analysis results transmitted by the data analysis and processing module and the preset operation parameters.

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